team-combat

Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026

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$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill team-combat
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summary

### Team Combat

  • description: "Orchestrate the combat team: coordinates game-designer, gameplay-programmer, ai-programmer, technical-artist, sound-designer, and qa-tester to design, implement, and validate a combat fe
  • argument-hint: "[combat feature description]"
  • allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite
skill.md
name
team-combat
description
"Orchestrate the combat team: coordinates game-designer, gameplay-programmer, ai-programmer, technical-artist, sound-designer, and qa-tester to design, implement, and validate a combat feature end-to-end."
argument-hint
"[combat feature description]"
user-invocable
true
allowed-tools
Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite

Argument check: If no combat feature description is provided, output:

"Usage: /team-combat [combat feature description] — Provide a description of the combat feature to design and implement (e.g., melee parry system, ranged weapon spread)." Then stop immediately without spawning any subagents or reading any files.

When this skill is invoked with a valid argument, orchestrate the combat team through a structured pipeline.

Decision Points: At each phase transition, use AskUserQuestion to present the user with the subagent's proposals as selectable options. Write the agent's full analysis in conversation, then capture the decision with concise labels. The user must approve before moving to the next phase.

Team Composition

  • game-designer — Design the mechanic, define formulas and edge cases
  • gameplay-programmer — Implement the core gameplay code
  • ai-programmer — Implement NPC/enemy AI behavior for the feature
  • technical-artist — Create VFX, shader effects, and visual feedback
  • sound-designer — Define audio events, impact sounds, and ambient combat audio
  • engine specialist (primary) — Validate architecture and implementation patterns are idiomatic for the engine (read from .claude/docs/technical-preferences.md Engine Specialists section)
  • qa-tester — Write test cases and validate the implementation

How to Delegate

Use the Task tool to spawn each team member as a subagent:

  • subagent_type: game-designer — Design the mechanic, define formulas and edge cases
  • subagent_type: gameplay-programmer — Implement the core gameplay code
  • subagent_type: ai-programmer — Implement NPC/enemy AI behavior
  • subagent_type: technical-artist — Create VFX, shader effects, visual feedback
  • subagent_type: sound-designer — Define audio events, impact sounds, ambient audio
  • subagent_type: [primary engine specialist] — Engine idiom validation for architecture and implementation
  • subagent_type: qa-tester — Write test cases and validate implementation

Always provide full context in each agent's prompt (design doc path, relevant code files, constraints). Launch independent agents in parallel where the pipeline allows it (e.g., Phase 3 agents can run simultaneously).

Pipeline

Phase 1: Design

Delegate to game-designer:

  • Create or update the design document in design/gdd/ covering: mechanic overview, player fantasy, detailed rules, formulas with variable definitions, edge cases, dependencies, tuning knobs with safe ranges, and acceptance criteria
  • Output: completed design document

Phase 2: Architecture

Delegate to gameplay-programmer (with ai-programmer if AI is involved):

  • Review the design document
  • Design the code architecture: class structure, interfaces, data flow
  • Identify integration points with existing systems
  • Output: architecture sketch with file list and interface definitions

Then spawn the primary engine specialist to validate the proposed architecture:

  • Is the class/node/component structure idiomatic for the pinned engine? (e.g., Godot node hierarchy, Unity MonoBehaviour vs DOTS, Unreal Actor/Component design)
  • Are there engine-native systems that should be used instead of custom implementations?
  • Any proposed APIs that are deprecated or changed in the pinned engine version?
  • Output: engine architecture notes — incorporate into the architecture before Phase 3 begins

Phase 3: Implementation (parallel where possible)

Delegate in parallel:

  • gameplay-programmer: Implement core combat mechanic code
  • ai-programmer: Implement AI behaviors (if the feature involves NPC reactions)
  • technical-artist: Create VFX and shader effects
  • sound-designer: Define audio event list and mixing notes

Phase 4: Integration

  • Wire together gameplay code, AI, VFX, and audio
  • Ensure all tuning knobs are exposed and data-driven
  • Verify the feature works with existing combat systems

Phase 5: Validation

Delegate to qa-tester:

  • Write test cases from the acceptance criteria
  • Test all edge cases documented in the design
  • Verify performance impact is within budget
  • File bug reports for any issues found

Phase 6: Sign-off

  • Collect results from all team members
  • Report feature status: COMPLETE / NEEDS WORK / BLOCKED
  • List any outstanding issues and their assigned owners

Error Recovery Protocol

If any spawned agent (via Task) returns BLOCKED, errors, or cannot complete:

  1. Surface immediately: Report "[AgentName]: BLOCKED — [reason]" to the user before continuing to dependent phases
  2. Assess dependencies: Check whether the blocked agent's output is required by subsequent phases. If yes, do not proceed past that dependency point without user input.
  3. Offer options via AskUserQuestion with choices:
    • Skip this agent and note the gap in the final report
    • Retry with narrower scope
    • Stop here and resolve the blocker first
  4. Always produce a partial report — output whatever was completed. Never discard work because one agent blocked.

Common blockers:

  • Input file missing (story not found, GDD absent) → redirect to the skill that creates it
  • ADR status is Proposed → do not implement; run /architecture-decision first
  • Scope too large → split into two stories via /create-stories
  • Conflicting instructions between ADR and story → surface the conflict, do not guess

File Write Protocol

All file writes (design documents, implementation files, test cases) are delegated to sub-agents spawned via Task. Each sub-agent enforces the "May I write to [path]?" protocol. This orchestrator does not write files directly.

Output

A summary report covering: design completion status, implementation status per team member, test results, and any open issues.

Verdict: COMPLETE — combat feature designed, implemented, and validated. Verdict: BLOCKED — one or more phases could not complete; partial report produced with unresolved items listed.

Next Steps

  • Run /code-review on the implemented combat code before closing stories.
  • Run /balance-check to validate combat formulas and tuning values.
  • Run /team-polish if VFX, audio, or performance polish is needed.
how to use team-combat

How to use team-combat on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add team-combat
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill team-combat

The skills CLI fetches team-combat from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/team-combat

Reload or restart Cursor to activate team-combat. Access the skill through slash commands (e.g., /team-combat) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.532 reviews
  • Sakshi Patil· Nov 27, 2024

    We added team-combat from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chaitanya Patil· Oct 18, 2024

    team-combat fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Henry Thompson· Sep 25, 2024

    Useful defaults in team-combat — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Chinedu Ghosh· Sep 21, 2024

    team-combat is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Piyush G· Sep 13, 2024

    team-combat is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chinedu Rao· Aug 16, 2024

    I recommend team-combat for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Henry Garcia· Aug 12, 2024

    Keeps context tight: team-combat is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Shikha Mishra· Aug 4, 2024

    Keeps context tight: team-combat is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Yash Thakker· Jul 23, 2024

    Registry listing for team-combat matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Chinedu Bhatia· Jul 11, 2024

    We added team-combat from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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